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Incorporating prior biological knowledge for network-based differential gene expression analysis using differentially weighted graphical LASSO
BACKGROUND: Conventional differential gene expression analysis by methods such as student’s t-test, SAM, and Empirical Bayes often searches for statistically significant genes without considering the interactions among them. Network-based approaches provide a natural way to study these interactions...
Αποθηκεύτηκε σε:
| Τόπος έκδοσης: | BMC Bioinformatics |
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| Κύριοι συγγραφείς: | , , , , |
| Μορφή: | Artigo |
| Γλώσσα: | Inglês |
| Έκδοση: |
BioMed Central
2017
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| Θέματα: | |
| Διαθέσιμο Online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5303311/ https://ncbi.nlm.nih.gov/pubmed/28187708 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-017-1515-1 |
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